Vanet Simulation in NS3

VANET is a MANET subtype that enables multiple hop wireless systems without any need for established infrastructure. However, it requires an ad hoc routing algorithm for establishing communication among automobiles and Highway structures. NS3 is a simulation tool for the simulation of VANET. This type of simulation tool is used for simulating the VANET based applications and real-time scenarios with a different set of simulation configurations.  Hence, in this article, we provide you with a complete picture of the VANET simulation in NS3.

Performance analysis of Vanet Simulation in NS3

While analyzing the quality of ad hoc routing protocols it would be far more time-consuming and cost-effective to install them in real-time situations on actual roads. Let us first start with VANET simulation classifications,

  • NS3 is a GNU GPL – Licensed descript time and event simulator for computer systems
  • It contains standards and routing methods ranging from physical to application layers
  • Both riders and drivers will get benefit from the smart traveling and traffic updates from VANET
  • In VANET, meanwhile, the communication node moves at a faster rate and has more processing power resources, such as memory, battery power, and CPU 

What are the classifications of VANET simulators?

There are four categories in which the simulators are classified into different categories. We have provided a description and an example of them below.

  • Category 1– one-way coupling
    • Data network simulator is obtained as traffic traces and given to traffic simulator
  • Category 2– two-way dynamic coupling (small scale and fixed interval)
    • Interface between network and traffic simulator
    • Example – SUMO Simulator and NS3 are used for simulation of car traffic flow based on transmitted and received packets
  • Category 3– medium-scale two-way dynamic coupling (fixed interval)
    • Using traffic and network simulator
    • Example – VNS or Vehicular Network Simulator provides for integrating NS3 and DIVERT 2.0
    • 11p standard of communication is supported by VNS
  • Category 4– large scale two-way dynamic coupling (fixed interval)
    • The communication analytical model is simulated using the traffic simulator
    • Example – integration of OMNET ++ (Communication simulator) and SUMO (Traffic simulator) is present in this category
    • TraCI interface that utilizes transmission control protocol connectivity for message sharing across the simulators
    • TraCI provides for bidirectional coupling of these two simulators

With more than 15 years of expertise in guiding research projects in VANET, we are highly qualified and skilled to handle any simulators. You can come to us without hesitation if you have any questions about simulation software. Our technical team is always ready to help you. Now let us have a quick overview of the NS3 simulator.

Overview of NS3

  • NS3 is a free and open-source software
  • Eat provides for relatively higher speed of simulation
  • NS3 gives highly developed total simulation modules
  • You can make a full-stack simulation on different kinds of network types

NS3 is a packet-level network simulator based on network research providing increased performance enabling cluster parallelization and capacity for running real code and testbed interaction. NS3 provides for the following

  • Channel creation – Wi-Fi channel, CsmaChannel and PointToPointChannel
  • NetDevice – CsmaNetDevice, WifiNetDevice and PointToPointNetDevice

It is also greatly appreciated in deploying different scenarios, building multiple incidents, application models, and measurement-based channel modeling.

We have been guiding researchers in VANET simulation projects, particularly ones which use the NS3 simulator. Ours is a world-class recognized online research guidance service that attracts researchers and students from all around the world. Now let us understand the advantages of VANET simulation in NS3. 

What are the advantages of NS3 for VANETs?

NS3 is an open tool that is one of the top simulation platforms. The following are the characteristics of the NS3 simulation tool that have made it so important in the long run.

  • Open source software for simulation
  • Simple method of development and new technology integration due to the use of C++ language only
  • Online availability of perfect documentation, Direct Code Execution (DCE), and community support
  • Custom made extraction support for simulation information

NS3 is very much an important simulation tool for vehicular ad hoc networks. VANET specific advantages of NS3 are listed below.

  • Easily integrated with many other mobility simulators (and simulation environments)
  • Reactive and proactive routing protocols are included in NS3
  • IEEE 802.11p standard and WAVE standard implementation
  • Provides for probabilistic and deterministic propagation modeling and also building different city situations
  • Spectrum PHY model in wireless channels enabling heterogeneous network simulation

On the whole, NS3 is undeniably the best tool for VANET simulation. Our experts have validated the peculiarities of implementing NS3, which are to a great extent, comparatively insignificant. As a result, you may use the PhD implementation tool  to simulate your VANET applications with confidence. We’ve also looked at the advantages and disadvantages of all simulation tools, including NS3. Reach out to us to get the much-needed technical points with detailed explanations. Now let us look into the achievements that we registered via our VANET Simulation in NS3 research guidance arm.

Key Features of Our VANET Simulation

The following are the major aspects in which our research experts and developers gained expertise in VANET simulation.

  • We have developed a completely integrated dynamically connected car modeling tool by coupling the traffic and connectivity models in real-time
  • To show the tool’s fullest potential, we can utilize it to evaluate several connected Vehicular Network applications
  • Robust version of empirical communication systems which records packets mobility down to the millisecond is created
  • Scalable methods for adjusting model link frequency depending on the number of simultaneous vehicles are devised

Connect with us to learn more about our in-depth investigation, which will be extremely beneficial to you. We will also supply you with the relevant technical information and essential project implementation guidance. Now let us look into the reasons for using the NS3 module separately.

Why separately use the NS3 module?

  • We can opt to overlook items that exist theoretically among the particular events, focussing just on the separate periods when interesting things happen
  • NS3 simulator is divided into modules each of which is constructed as an independent software library
  • Every NS3 programs can connect the libraries they require to complete the simulation

Therefore NS3 is used extensively in the simulation of many projects especially vehicular ad hoc network systems, as we saw before; NS3 is specifically useful in the following aspects

  • 3GPP New Radio (NR)
  • mmWave
  • NR and Vehicle – to – Anything (V2X)
  • For deploying new technologies
  • Unmanned Aerial Vehicle

There are different modules in NS3 that are of great importance in VANET project simulation. Let us see the NS3 modules useful in the VANET simulation below.

NS3 modules for VANET
  • 5G LENA and Millicar
  • WiGig modules and Long Term Evaluation
  • mmWave NR V2X and WAVE

You can reach our technical team for detailed notes on these modules. We encountered many of the same conditions and research issues that world-class top researchers experience. NS3 and other simulation tools were used to record all of the procedures and technologies related to the VANET simulation projects. Get in touch with us to get access to such a huge amount of reliable research references and data. Now let us look into the steps involved in VANET simulation in NS3

What are the steps for VANET simulation in NS3?

  • The first step is the generation of vehicular mobility traces. It involves the following aspects
    • OpenStreetMap file format
    • Road map conversion (route generation and random trip)
    • NETMAP file format
    • SUMO (mobility traces)
    • Floating Car Data or FCD (traces)
    • TraceExporter (NS2 and NS3)
  • The second step is the data processing geometry is built involve the following steps
    • Raw 2.5 D Building Geo – Data
    • Binary stream
    • Base64 Encoding
    • ASCII format
    • XML conversion file format
  • The third step is to propagation model based on the building geometry the following processes occur,
    • GEMV2
    • Received power offline processing
    • With the propagation path loss and the traces of NS2 and NS3 obtained from FCD network simulation takes place 

To understand these steps in great detail our research experts are here to provide you with the necessary explanation. In addition here are the simulations of public security situations, for example, as given below

  • Technology used
    • 5G mmWave
    • LTE, LTE cell deployment, and D2D communication
  • Implementations and Measurements
    • NS3
    • RF planning tool
  • Environment (and behavior)
    • Smart city
    • Smart industry
    • Smart vehicles  

Let us now look into one of our successful projects guided and implemented in real-time. The environment in realistic public safety scenarios is quite complicated. In this regard, the following project gains significance.

Title – The 5G SDN based ecosystem (as basic IoV infrastructure) for providing multimedia services

Project Description 

  • Organised as units involving about hundreds of users
  • Random events or minimised by utilizing standard operating procedures
  • First responders have different requirements than commercial users
  • Channel models – PS specific (smoke, fire, crowd, etc.) and realistic environments

VANET Simulation Analysis

The simulation does provide performance evaluations in conditions when Testbeds or actual installations are not viable. Simulators are improving their ability to report QoE measurements. The NS3 simulator is used to simulate automobile interactions with 5G Network establishments through millimeter wave communications

  • Urban and rural scenario simulation
  • Results comparative to rural and urban simulation and with other proposals
  • Effectiveness of proposals from the results obtained

When implementing Vanet Simulation in NS3, some parameters are used for simulation. These metrics are used to evaluate the performance of any VANET project. Let us look at such important evaluation parameters below 

Parameters for evaluation

  • Frequency (supported range), propagation, and channel model
  • Bandwidth, numSubbands (total number of sub-bands), and subbandWidth (width of the sub-band in MHz)
  • losCondition (conditions of the channel) and shadowing (fading)
  • harqProcesses (Enable HARQ) and harqEnabled (UL and HL based HARQ)
  • segmentDuration (2s for a segment) and segmentSizeFile (matrix (n,m))
  • macScheduler (scheduler class), enableBuildings (considering obstacles), and packetSize (size of the segment and packages)
  • rlcAmEnabled (RLC – AM enabled), adaptation (algorithm for adaptation), simTime (total time for simulation), and buffer (size of the buffer)

The project detailed above proved to be the best on all the parameters mentioned above. We render research support technically with respect to writing codes, algorithms and generally in writing assignments, research proposals, and thesis and paper publication. So you can confidently depend on us for any kind of research assistance. We have dedicated sole teams for every aspect of research. Now let us look into the performance metrics used in the evaluation of VANET systems.

Performance Metrics for VANET

The influence of propagation models on network performance is measured using the metrics below.

  • Throughput– Ratio between the maximum amount of bytes received at the endpoint and the complete simulation duration
  • Latency– the summation of all the end-to-end delay taken for those packets received (calculated over the entire data)
  • Receive time– the time spent and acquiring packets is aggregated across 1000 millisecond window and is normalized throughout the complete simulation period
  • Packet Loss Rate– the ratio of transmitted data packets to the number of packets missed by those anticipated one-hop receivers (all vehicles inside a transmission vehicle’s broadcast range)
  • Jitter– the discrepancy between the latencies of two successive packets

On all of the above parameters, all of our projects yielded the best results. We provide research assistance on a wide range of NS3 issues. We can also help you with any vanet research topics you’re interested in. We’ve been preparing ourselves with the most up-to-date technologies given further research in VANET simulation in NS3. Get in touch with us to know more about our services

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